FOR energy limited data networks, e.g., sensor networks,
|
|
- Daniel Rose
- 5 years ago
- Views:
Transcription
1 578 IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 8, NO., DECEMBER 009 An Optima Power Aocation Scheme for the STC Hybrid ARQ over Energy Limited Networks Hongbo Liu, Member, IEEE, Leonid Razoumov, Member, IEEE, Narayan Mandayam, Feow, IEEE, and Predrag Spasojević, Member, IEEE Abstract In this paper, we show that for STC (Space-Time Coded) Hybrid-ARQ (Automatic Repeat request) schemes with (re)transmission power contro over independent Rayeigh bock fading channes, the probem of optimizing energy efficiency with a PER (Packet Error Rate) constraint can be soved as a geometric programming probem. The optimum transmit power increases super-ineary with each requested retransmission and the fraction of the average power optimay aocated to each ARQ round ony depends on the incrementa diversity gain. The energy savings increases with a decrease in the PER targets and decreases with an increase in the diversity gain. Index Terms Energy imited networks, geometric programming, hybrid ARQ, space-time codes. I. INTRODUCTION FOR energy imited data networks, e.g., sensor networks, one of the goas is to deiver as much information as possibe with a imited energy suppy and a maximum deay constraint. For data transmissions with oose deay constraints, the ARQ (Automatic Repeat request) scheme is often used in addition to an FEC (Forward Error Correction) scheme, which is known as Hybrid ARQ, to provide adaptive data rates, and hence improve the energy efficiency. In the foowing, we refer to the uncoded information message as a source packet" and the successive transmissions of the coded bocks of the same source packet as ARQ rounds". The traditiona Hybrid ARQ scheme is a constant power transmission scheme. A few power adaptation schemes have been proposed to increase the throughput [], reduce energy consumption [], or provide extra diversity gain [3] by making the transmit power of the -th ARQ round a function of. In [3], for ong-term static MIMO (Mutipe Input Mutipe Output) channes, i.e., the channe coefficients remain constant during a ARQ rounds and change to new independent vaues with each new source packet, an asymptoticay optima power contro agorithm is proposed that yieds very significant diversity advantage. However, for short-term static channes, where the channe coefficients remain constant during each Manuscript received March 8, 008; revised October 4, 008 and March 6, 009; accepted June, 009. The associate editor coordinating the review of this etter and approving it for pubication was M. Torak. H. Liu, N. Mandayam, and P. Spasojević are with WINLAB, Department of Eectrica and Computer Engineering, Rutgers University, North Brunswick, NJ 0890 USA (e-mai: {hongbo, narayan, spasojev@winab.rutgers.edu). L. Razoumov is with AT&T Labs, 80 Park Ave, Forham Park, NJ 0793, USA (e-mai: eor@research.att.com). The materia in this paper was presented in part at Conference on Information Sciences and Systems (CISS) 004 and CISS 005. This work was supported in part by the NSF under Grant No. FMF Digita Object Identifier 0.09/TWC /09$5.00 c 009 IEEE ARQ round and change independenty for the next ARQ round, no optima power adaptation scheme is proposed. Different from previous works, we propose a power adaptation agorithm where the power eve at each ARQ round is optimized for the short-term static channe variation based on the ong term channe statistics. Our goa is to choose the transmit power for the -th ARQ round to minimize the average energy consumption under a PER (Packet Error Rate) constraint with the maxima number of ARQ rounds to be fixed to L over an L-bock Rayeigh fading STC (Space-Time Coded) channe. We show that our probem can be formuated and soved as a GP (Geometric Programming) probem and a cosed-form soution can be obtained. We aso show that the optimized transmit power increases in a super-inear manner each time a retransmission is requested and the fraction of the average energy optimay aocated to the -th ARQ round ony depends on the incrementa diversity gain. This paper is organized as foows: In Section II, we provide the channe mode and some preiminaries used in this work. In Section III, we show how the optimization probem can be formuated and soved as a GP probem. In Section IV, simuation vaidations for the optima power aocation strategy are presented and we summarize our work in Section V. II. CHANNEL MODEL AND THE PRELIMINARIES A. Channe Mode for Hybrid ARQ There are severa variations of the Hybrid ARQ schemes, i.e., type I [4], type II with IR (Incrementa Redundancy) [5] and Chase combining [6]. In this paper, an error-free and zerodeay ARQ feedback channe is assumed for a ARQ schemes. If a decoding error occurs, a one-bit retransmission request (NACK) is sent back to the transmitter. We consider a frequency fat fading channe with no CSI (channe state information) at the transmitter and perfect CSI at the receiver. For a STC channe with M T transmit antennas and M R receive antennas, the channe state matrix H C MR MT,,,Lremains constant during the -th ARQ round and changes independenty for different ARQ rounds. Each ARQ round takes T channe uses. Define x,t C MT, y,t C MR,andw,t C MR, =,,L,t =,,T as the transmitted signa, received signa, and corresponding channe noise vector, respectivey. The channe noise is assumed to be temporay and spatiay white with i.i.d. compex Gaussian entries CN(0,N 0 ).LetE be the transmit power per channe use, which remains constant for the -th ARQ
2 IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 8, NO., DECEMBER round, and the energy consumption for the -th ARQ round is E T. The channe mode is defined as E y,t = H x,t + w,t, () M T which corresponds to a short term static channe in [3]. It is aso referred to as the L-bock fading Hybrid-ARQ mode in this paper. A power aocation scheme for an L-bock fading Hybrid- ARQ is defined as E =(E,E,E L )=(ρu,ρu,,ρu L )=ρu, where ρ = E and u = E E,and represents the norm of the vector. B. Average Power In this paper, the average power is defined as the average energy normaized by T.Define the probabiity of the event that a NACK is received at the -th round as P,andetP 0 = by definition. Let E[ ] denote the expectation of a random variabe. Foowing [3], the average power per source packet is [ T ] Ē = E E = E P, () where T is a random number of retransmissions for each source packet. C. Diversity Gain The optima diversity-mutipexing tradeoff for ARQ MIMO channes has been proposed in [3]. In this paper, we use a different approach to obtain the diversity gain. For an Lbock fading Hybrid ARQ, we define the term incrementa diversity gain. For a given power aocation scheme E = ρu, the diversity gain at the -th ARQ round is defined as d = im og P (ρu), (3) og ρ where P (ρu) is the accumuative PER after the -th ARQ round. The incrementa diversity gain, which represents the diversity gain corresponding to the -th ARQ round, is defined here as D = d d = im where d 0 =0by definition. og P (ρu) og P (ρu), og ρ D. Probabiity of Errors in Hybrid ARQ The average energy consumption is cosey reated to the PER. For each ARQ round, the CSI is unknown to the sender, and therefore, the resuts for the open-oop PER anaysis can be appied. We can derive the PER for both type I and type II L-bock fading Hybrid-ARQ mode based on the anaysis for STC in [7]. Let E denote the event that a decoding error occurs at the th ARQ round. We assume that the undetected decoding error can be ignored. Given a sequence of channe state matrices Fig.. Ω ( a, a ) σ σ Error event decision regions. x Ω ( a σ, a ) σ H, H,, H L, the probabiity of sending a NACK at the -th ARQ round for =,,L is given in equation (4). P (ρu H, H, H )=Pr(E H )Pr(E E, H, H ) Pr(E E, E,, E, H, H, H ) = Pr(E,, E H, H, H ). (4) We use superscripts I and II to denote the type I and the type II Hybrid-ARQ respectivey. For type I Hybrid ARQ, ony the atest received packet is used for decoding. For Chase combining and type II Hybrid ARQ, the code bocks from the ARQ round through are a combined and decoded as one codeword using a maximum ikeihood (ML) decoder. The Chase combining Hybrid ARQ is considered a specia case of the type II Hybrid-ARQ and, therefore, is not discussed separatey. Proposition : The error probabiity of an L-bock fading type II Hybrid ARQ after the -th ARQ round has the same diversity order as the error probabiity of decoding a codeword with fading bocks at the -th ARQ round aone without considering decoding errors at previous ARQ rounds, i.e., og Pr(E,, E ) d = im = im og ρ x og Pr(E ). (5) og ρ Proof: For an L-bock fading type II Hybrid ARQ with maximum ikeihood (ML) decoding rue, the error probabiity can be bounded as Pr(E H, H, H ) Pr(E,, E H, H, H ) Pr(E H, H, H ). (6) The upper bound is obvious because the probabiity of the joint event is equa to or ess than the probabiity of an individua event. The ower bound can be obtained based on the properties of the Eucidean distance based ML decoding as showninfig.,wherex i = x i,a i = s i,i =,,,and x i is the received signa, s i is a super symbo composed of a different symbos between two codewords, Ω is the error decision region, and σ i is the noise power at the i-th ARQ
3 570 IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 8, NO., DECEMBER 009 round. We have Pr(E, E H, H )= p(x,x )dx dx Ω Ω p(x,x )dx dx Ω = p(y )dy = Ω Pr(E H, H ), x with change of variabes y = + x σ. Equation (7) is σ based on the property of muti-dimensiona Gaussian distribution. With the same anaysis, it foows that Pr(E, E,, E H, H, H )= p(x)dx Ω p(x)dx = (8) Ω Pr(E H, H, H ). Taking the expectation over a channe states for equation (6), equation (5) then foows. Proposition : The maximum diversity order of an Lbock fading Hybrid-ARQ channe is equa to M T M R L and the maximum incrementa diversity is D = D = = D L = M T M R. Proof: For the type I Hybrid ARQ, a error events E are mutuay independent, therefore, the PER at the -th ARQ round is I (E) =E[P (E H, H, H )] = E[Pr(E k H k )] = Pr(E k )= P I Pr(E k ) where Pr(E k ) is the PER for the k-th ARQ round. By appying [7, equation (3)], the asymptotic PER bound of the type I Hybrid-ARQ after the -th ARQ round is P I (E) 4 [ Ek 4N 0 ] ηmin M R e E min [ ηmin i= (7) (9) ] MR λ i, (0) where e is the error sequence, E min is the set of error sequences with minimum diversity, λ i is the eigenvaues derived from the STC channe matrix [7, equation (3)], and η min is the minimum diversity of a singe bock fading channe. With optimum code design, maximum η min = M T is achieved, and Proposition foows. For the type II Hybrid-ARQ, based on Proposition, to obtain the maximum diversity order and the incrementa diversity gain, we ony need to consider the decoding error corresponding to an bock fading channe. To obtain the PER with a power aocation scheme E = (ρu,ρu,,ρu L ) over an bock fading channe, we consider an equivaent transmission scheme, in which the transmit power is ρ for each transmission whie the fading gain is scaed by u k for the k-th fading bock. The asymptotic PER bound of the type II Hybrid-ARQ after the -th ARQ round is [7, equation (3)] P II (E) [ ] ηmin M ρ R 4 4N 0 e E min [ η k i= ] MR λ (k) i u k, () where η min = min e η k and η k is the rank of the transformed STC channe matrix defined in [7, equation (0)] for the k-th transmission. The maximum diversity gain that can be achieved is max{η min = LM T when η k = M T. Substituting η k with M T eads to Proposition. We note that the maximum diversity gains for the type I and the type II Hybrid-ARQ are same. The packet combining does not increase the diversity order. From equations (0) and (), the unified approximation of the PER for STC Hybrid ARQ schemes with maximum diversity order at high SNR (Signa-to-Noise Ratio) can be written as ( ) Dk Ek P (E,,E ) A, () where the bound for A for the type I and the type II Hybrid- ARQ can be obtained from equations (0) and (). In the remainder of this paper, we wi use the above expression for the transmission probabiity in deriving optima power aocation strategies for the Hybrid ARQ system. N 0 III. OPTIMAL POWER ALLOCATION The optima power aocation probem that minimizes the average power under a PER constraint can be formuated as { min E = E P (E,,E ) E,E,,E L subject to P L (E,,E L ) P max e where P 0 =by definition.,e > 0,,,L, (3) The above optimization probem can be written as a GP probem [8] [0] in the standard prima form after appying approximation (). min { f 0 (x) =x + A x x D x + A x 3 x D x D + subject to A L L + A L x L L i= x D x D Pe max,x > 0,,,L, (4) where x =(x x x L ),x = E /N 0, =,,L and D is the incrementa diversity gain for the -th ARQ round. This is a GP with a zero degree of difficuty and thus has a unique soution. Because of its specia form, we can obtain the cosed-form soution by soving its dua program, which is formuated as L ( ) δ ( ) δl+ A AL max { v(δ) = δ subject to δ δ =0,δ P max e L+ j=+ δ j D =0,,,L, (5) where δ =(δ,,δ L+ ) is the design variabe for the dua
4 IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 8, NO., DECEMBER program, which can be soved from the inear constraints as δ = D j=+ ( + D j) j= ( + D, =,, L, j) δ L = δ L+ = D L j= ( + D j), j= ( + D j). (6) From the prima dua reation, the prima program and its optima soution x =(x,x,,x L ) satisfy L ( ) δ ( ) f 0 (x )=v(δ A δ L+ A L )=, (7) δ Pe max where δ =(δ,δ,,δ L+ ). Let u (x) =A x j= x Dj j,thenf 0 (x) =u (x) + u (x) + + u L (x), andδ = u (x)/f 0 (x) is defined as the proportion of the average energy consumption for the -th ARQ round reative to the tota energy consumption. According to the duaity theory [8, Theorem (iv)], we have u (x )=v(δ )δ = f 0 (x )δ, =,,,L. (8) And the optima soution satisfies x = f 0(x )δ, x = A D A D ( + D ) (x )(+D ),=,,L. (9) Note that the PER approximation does not hod for SNR < and, therefore, the optimization scheme cannot be appied with extremey ow SNRs. Aso note that the optimization scheme does not change the diversity gain, because the incrementa diversity gain for each ARQ round is a constant. The theoretica bound for the A is not tight enough to derive the accurate vaue of the A. Therefore, it is obtained from the PER statistics of the channe measurement or simuations in practice. A. Impact of the diversity gain To simpify the notation, we assume equa incrementa diversity gains D = D, =,,L and either the number of ARQ rounds L or D is arge. For conventiona Hybrid ARQ with equa power aocation for each ARQ round, i.e., x = x = = x L = ρ and a target PER P e, based on equation () and (), the average power Eav NPC is cacuated as = ρ A ρ D( ), (0) E NPC av ( ) DL P where the transmit power ρ = e A L, which comes from the PER constraint A L i= x D P e and A 0 = by definition. We use superscript NPC to represent no power contro case. For the optima power aocation scheme and a arge D, we can approximate the equation (6) as δ D, =,,,L. () ( + D) Frame Error Rate Equa Power Aocation Optima Power Aocation Average Power (db) Fig.. PER for equa power aocation scheme and optimum power aocation scheme for type I Hybrid ARQ. With the equa power aocation scheme and a arge D, δ NPC A ρ D( ), =,,,L. () For both optima and equa power aocation schemes, with arger incrementa diversity gain, i.e., arger number of transmitter and receiver antennas, more energy is aocated to the first ARQ round, i.e., δ and δnpc as D. Hence the Hybrid-ARQ scheme converges to a singe transmission scheme with an increase of the diversity gain. This fact suggests that from the energy saving point of view, a singe transmission scheme is good enough for a system with arge diversity gain. Compared with the δ, δnpc converges faster as a function of D. Hence, as the incrementa diversity gain increases, the conventiona Hybrid ARQ scheme converges faster to a singe transmission scheme than the optima scheme in terms of the average energy consumption, and both Hybrid ARQ schemes do not provide much energy savings over singe transmission schemes. Therefore, the performance gain of an optima power aocation scheme over an equa power aocation scheme diminishes as incrementa diversity gain increases. IV. APPLICATIONS In the foowing, we appy the optima power aocation scheme in simuated Hybrid ARQ systems. To iustrate the performance gain against the no power contro Hybrid-ARQ systems, we appy the type I Hybrid-ARQ and Chase combining Hybrid-ARQ over a x SIMO (Singe Input Mutipe Output) Rayeigh bock fading channe with an 8-states 4-PSK STTC coding scheme defined in [, Fig. 5]. The diversity and coding gain parameters of the PER, i.e., A,D, =, are obtained from the PER statistics based on simuations. We obtain PER curves for 5 cases, where the power difference between the two ARQ rounds is -6 db, -3 db, 0 db, 3 db and 6 db, and find the best fit for A,D,A,D. Next, we cacuate the vaue of x,x of a set of PER targets Pe max = {0., 0.05, 0.0, 0.005, 0.00, , For each set of x,x, we obtain the PER vaue by simuation
5 57 IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 8, NO., DECEMBER 009 Frame Error Rate Equa Power Aocation Optima Power Aocation Average Power (db) Fig. 3. PER for equa power aocation scheme and optimum power aocation scheme for Chase combining Hybrid ARQ. to evauate the power savings. The resuts are shown in Figure and 3. Note that, for extremey high PER ike 0.5, the optimization scheme is not appicabe. In Fig. and Fig. 3, the resuts show that at a target PER of 0 4, the optima power aocation scheme can provide a gain of up to 3 db for the type I Hybrid-ARQ and.5 db for the Chase combining Hybrid-ARQ. V. CONCLUSION In this paper, we have provided a method to minimize the average energy consumption for Hybrid ARQ systems over an L-bock Rayeigh fading channe whie maintaining a target PER. The optimization probem was formuated and soved as a geometric programming probem. The Lagrangian dua formuation was used to derive cosed-form expressions for the optima objective function and the optima power aocation. Compared with a traditiona Hybrid-ARQ scheme with equa power aocation for a ARQ rounds, the optima scheme achieved significant power savings for channes with ow diversity gains. The simuation resuts showed, at a target PER of 0 4, a gain of up to 3 db for type I Hybrid-ARQ and.5 db for Chase combining Hybrid-ARQ were achieved over an STTC (Space-Time Treis Code) coded SIMO channe with a maximum of two (re)transmissions. The anaytica resuts showed that a arger gain was achieved for a ower PER target, and the energy savings obtained from the optimization scheme decreased with a higher incrementa diversity gain. REFERENCES [] S.-H. Hwang, B. Kim, and Y.-S. Kim, A Hybrid ARQ scheme with power ramping," in Proc. Veh. Techno. Conf. (VTC 00), vo. 3, Oct. 00, pp [] Z. Sun and X. Jia, Energy efficient Hybrid ARQ scheme under error constraints," Wireess Persona Commun., vo. 5, pp , 003. [3] H. E. Gama, G. Caire, and M. O. Damen, The MIMO ARQ channe: diversity-mutipexing-deay tradeoff," IEEE Trans. Inf. Theory, vo. 5, pp , Aug [4] S. Lin, D. J. C. Jr., and M. J. Mier, Automatic-repeat-request error contro schemes," IEEE Commun. Mag., vo., no., pp. 5-7, Dec [5] D. M. Mandebaum, An adaptive-feedback coding scheme using incrementa redundancy," IEEE Trans. Inf. Theory, vo. 0, pp , May 974. [6] D. Chase, Code combining a maximum-ikeihood decoding approach for combining an arbitrary number of noisy packets," IEEE Trans. Commun., vo. 33, pp , May 985. [7] M. Chiani, A. Conti, and V. Trai, A pragmatic approach to spacetime coding," in Proc. IEEE Internationa Conf. Commun. 00 (ICC), vo. 9, June 00, pp [8] R. J. Duffin, E. L. Peterson, and C. Zener, Geometric Programming: Theory and Appication. John Wiey & Sons, Inc., 967. [9] S. Rao, Optimization Theory and Appications. John Wiey & Sons, Inc., 983. [0] S. Boyd and L. Vandenberghe, Convex Optimization. Cambridge University Press, 004. [] V. Tarokh, N. Seshadri, and A. R. Caderbank, Space-time codes for high data rate wireess communication: performance criterion," IEEE Trans. Inf. Theory, vo. 44, pp , Mar. 998.
Optimal Power Allocation for Type II H ARQ via Geometric Programming
5 Conference on Information Sciences and Systems, The Johns Hopkins University, March 6 8, 5 Optimal Power Allocation for Type II H ARQ via Geometric Programming Hongbo Liu, Leonid Razoumov and Narayan
More informationRate-Allocation Strategies for Closed-Loop MIMO-OFDM
Rate-Aocation Strategies for Cosed-Loop MIMO-OFDM Joon Hyun Sung and John R. Barry Schoo of Eectrica and Computer Engineering Georgia Institute of Technoogy, Atanta, Georgia 30332 0250, USA Emai: {jhsung,barry}@ece.gatech.edu
More informationRateless Codes for the Gaussian Multiple Access Channel
Rateess Codes for the Gaussian Mutipe Access Channe Urs Niesen Emai: uniesen@mitedu Uri Erez Dept EE, Te Aviv University Te Aviv, Israe Emai: uri@engtauaci Devavrat Shah Emai: devavrat@mitedu Gregory W
More informationTHE TRADEOFF BETWEEN DIVERSITY GAIN AND INTERFERENCE SUPPRESSION VIA BEAMFORMING IN
THE TRADEOFF BETWEEN DIVERSITY GAIN AND INTERFERENCE SUPPRESSION VIA BEAMFORMING IN A CDMA SYSTEM Yan Zhang, Laurence B. Mistein, and Pau H. Siege Department of ECE, University of Caifornia, San Diego
More informationEffect of Estimation Error on Adaptive L-MRC Receiver over Nakagami-m Fading Channels
Internationa Journa of Appied Engineering Research ISSN 973-456 Voume 3, Number 5 (8) pp. 77-83 Research India Pubications. http://www.ripubication.com Effect of Estimation Error on Adaptive -MRC Receiver
More informationADAPTIVE ITERATION SCHEME OF TURBO CODE USING HYSTERESIS CONTROL
ADATIV ITRATION SCHM OF TURBO COD USING HYSTRSIS CONTROL Chih-Hao WU, Kenichi ITO, Yung-Liang HUANG, Takuro SATO Received October 9, 4 Turbo code, because of its remarkabe coding performance, wi be popuar
More informationResource Allocation via Linear Programming for Multi-Source, Multi-Relay Wireless Networks
Resource Aocation via Linear Programming for Muti-Source, Muti-Reay Wireess Networs Nariman Farsad and Andrew W Ecford Dept of Computer Science and Engineering, Yor University 4700 Keee Street, Toronto,
More informationInformation Theoretic Radar Waveform Design for Multiple Targets
1 Information Theoretic Radar Waveform Design for Mutipe Targets Amir Leshem and Arye Nehorai Abstract In this paper we use information theoretic approach to design radar waveforms suitabe for simutaneousy
More informationCo-channel Interference Suppression Techniques for STBC OFDM System over Doubly Selective Channel
Co-channe Interference Suppression Techniques for STBC OFDM System over Douby Seective Channe Jyoti P. Patra Dept. of Eectronics and Communication Nationa Institute Of Technoogy Rourkea-769008, India E
More informationBER Performance Analysis of Cognitive Radio Physical Layer over Rayleigh fading Channel
Internationa Journa of Computer ppications (0975 8887) Voume 5 No.11, Juy 011 BER Performance naysis of Cognitive Radio Physica Layer over Rayeigh fading mandeep Kaur Virk Dr. B R mbedkar Nationa Institute
More informationDealing with Link Blockage in mmwave Networks: D2D Relaying or Multi-beam Reflection?
Deaing with Lin Bocage in mmwave etwors: DD Reaying or Muti-beam Refection? Mingjie Feng, Shiwen Mao Dept. Eectrica & Computer Engineering Auburn University, Auburn, AL 36849-5, U.S.A. Tao Jiang Schoo
More informationImproving the Active Power Filter Performance with a Prediction Based Reference Generation
Improving the Active Power Fiter Performance with a Prediction Based Reference Generation M. Routimo, M. Sao and H. Tuusa Abstract In this paper a current reference generation method for a votage source
More informationMULTIPATH fading could severely degrade the performance
1986 IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 53, NO. 12, DECEMBER 2005 Rate-One Space Time Block Codes With Full Diversity Liang Xian and Huaping Liu, Member, IEEE Abstract Orthogonal space time block
More informationJoint Beamforming and Power Optimization with Iterative User Clustering for MISO-NOMA Systems
This artice has been accepted for pubication in a future issue of this journa, but has not been fuy edited. Content may change prior to fina pubication. Citation information: DOI 0.09/ACCESS.07.70008,
More informationPROPORTIONAL FAIR SCHEDULING OF UPLINK SINGLE-CARRIER FDMA SYSTEMS
PROPORTIONAL FAIR SCHEDULING OF UPLINK SINGLE-CARRIER SYSTEMS Junsung Lim, Hyung G. Myung, Kyungjin Oh and David J. Goodman Dept. of Eectrica and Computer Engineering, Poytechnic University 5 Metrotech
More informationA Low Complexity VCS Method for PAPR Reduction in Multicarrier Code Division Multiple Access
0 JOURNAL OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA, VOL. 5, NO., JUNE 007 A Low Compexity VCS Method for PAPR Reduction in Muticarrier Code Division Mutipe Access Si-Si Liu, Yue iao, Qing-Song Wen,
More informationUtility-Proportional Fairness in Wireless Networks
IEEE rd Internationa Symposium on Persona, Indoor and Mobie Radio Communications - (PIMRC) Utiity-Proportiona Fairness in Wireess Networks G. Tychogiorgos, A. Gkeias and K. K. Leung Eectrica and Eectronic
More informationResource Allocation via Linear Programming for Fractional Cooperation
1 Resource Aocation via Linear Programming for Fractiona Cooperation Nariman Farsad and Andrew W Ecford Abstract In this etter, resource aocation is considered for arge muti-source, muti-reay networs empoying
More informationChannel Division Multiple Access Based on High UWB Channel Temporal Resolution
Channe Division Mutipe Access Based on High UWB Channe Tempora Resoution Rau L. de Lacerda Neto, Aawatif Menouni Hayar and Mérouane Debbah Institut Eurecom B.P. 93 694 Sophia-Antipois Cedex - France Emai:
More informationSatellite Link Layer Performance Using Two Copy SR-ARQ and Its Impact on TCP Traffic
Sateite Link Layer Performance Using Two Copy SR-ARQ and Its Impact on TCP Traffic Jing Zhu and Sumit Roy Department of Eectrica Engineering, University of Washington Box 352500, Seatte, WA 98195, USA
More informationOn optimizing low SNR wireless networks using network coding
On optimizing ow SNR wireess networks using network coding Mohit Thakur Institute for communications engineering, Technische Universität München, 80290, München, Germany. Emai: mohit.thakur@tum.de Murie
More informationBER PERFORMANCE AND OPTIMUM TRAINING STRATEGY FOR UNCODED SIMO AND ALAMOUTI SPACE-TIME BLOCK CODES WITH MMSE CHANNEL ESTIMATION
BER PERFORMANCE AND OPTIMUM TRAINING STRATEGY FOR UNCODED SIMO AND ALAMOUTI SPACE-TIME BLOC CODES WITH MMSE CHANNEL ESTIMATION Lennert Jacobs, Frederik Van Cauter, Frederik Simoens and Marc Moeneclaey
More informationJoint Optimal Power Allocation and Relay Selection with Spatial Diversity in Wireless Relay Networks
Proceedings of SDR'11-WInnComm-Europe, 22-24 Jun 2011 Joint Optima Power Aocation and Reay Seection with Spatia Diversity in Wireess Reay Networks Md Habibu Isam 1, Zbigniew Dziong 1, Kazem Sohraby 2,
More informationPerformance Measures of a UWB Multiple-Access System: DS/CDMA versus TH/PPM
Performance Measures of a UWB Mutipe-Access System: DS/CDMA versus TH/PPM Aravind Kaias and John A. Gubner Dept. of Eectrica Engineering University of Wisconsin-Madison Madison, WI 53706 akaias@wisc.edu,
More informationSecure Physical Layer Key Generation Schemes: Performance and Information Theoretic Limits
Secure Physica Layer Key Generation Schemes: Performance and Information Theoretic Limits Jon Waace Schoo of Engineering and Science Jacobs University Bremen, Campus Ring, 879 Bremen, Germany Phone: +9
More informationSCHEDULING the wireless links and controlling their
3738 IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 13, NO. 7, JULY 2014 Minimum Length Scheduing With Packet Traffic Demands in Wireess Ad Hoc Networks Yacin Sadi, Member, IEEE, and Sinem Coeri Ergen,
More informationA Novel Method for Doppler and DOD- DOA Jointly Estimation Based on FRFT in Bistatic MIMO Radar System
7 Asia-Pacific Engineering and Technoogy Conference (APETC 7) ISBN: 978--6595-443- A Nove Method for Dopper and DOD- DOA Jointy Estimation Based on FRFT in Bistatic MIMO Radar System Derui Song, Li Li,
More informationAnalyzing Uplink SINR and Rate in Massive. MIMO Systems Using Stochastic Geometry
Anayzing Upink SINR and Rate in Massive MIMO Systems Using Stochastic Geometry Tianyang Bai and Robert W. Heath, Jr. arxiv:5.2538v2 [cs.it] 2 Apr 26 Abstract This paper proposes a stochastic geometry framework
More informationDistributed Resource Allocation for Relay-Aided Device-to-Device Communication Under Channel Uncertainties: A Stable Matching Approach
Distributed Resource Aocation for Reay-Aided Device-to-Device Communication Under Channe Uncertainties: A Stabe Matching Approach Monowar Hasan, Student Member, IEEE, and Ekram Hossain, Feow, IEEE Abstract
More informationEE359 Lecture 12 Outline
EE359 Lecture 12 Outine Announcements Midterm announcements No HW next week (practice MTs) HW5 posted, due Monday 4pm (no ate HWs) Transmit Diversity Midterm Review Introduction to adaptive moduation Variabe-rate
More informationJoint Optimization of Scheduling and Power Control in Wireless Networks: Multi-Dimensional Modeling and Decomposition
This artice has been accepted for pubication in a future issue of this journa, but has not been fuy edited. Content may change prior to fina pubication. Citation information: DOI 10.1109/TMC.2018.2861859,
More informationEffect of Interfering Users on the Modulation Order and Code Rate for UWB Impulse-Radio Bit-Interleaved Coded M-ary PPM
Effect of Interfering Users on the Moduation Order and Code Rate for UWB Impuse-Radio Bit-Intereaved Coded M-ary PPM Ruben Merz and Jean-Yves Le Boudec EPFL, Schoo of Computer and Communication Sciences
More informationDistributed Resource Allocation for Relay-Aided Device-to-Device Communication: A Message Passing Approach
Distributed Resource Aocation for Reay-Aided Device-to-Device Communication: A Message Passing Approach Monowar Hasan and Ekram Hossain arxiv:406.323v [cs.ni] 2 Jun 204 Abstract Device-to-device D2D communication
More informationA capacity-approaching coded modulation scheme for non-coherent fading channels
Louisiana State University LSU Digita Commons LSU Master's Theses Graduate Schoo 008 A capacity-approaching coded moduation scheme for non-coherent fading channes Youngjeon Cho Louisiana State University
More informationOptimal Rate-Diversity-Delay Tradeoff in ARQ Block-Fading Channels
Optimal Rate-Diversity-Delay Tradeoff in ARQ Block-Fading Channels Allen Chuang School of Electrical and Information Eng. University of Sydney Sydney NSW, Australia achuang@ee.usyd.edu.au Albert Guillén
More informationOptimal Power Assignment for Minimizing the Average Total Transmission Power in Hybrid-ARQ Rayleigh Fading Links
IEEE TRANSACTIONS ON COMMUNICATIONS VO. 59 NO. 7 JUY 867 Optimal Power Assignment for Minimizing the Average Total Transmission Power in Hybrid-ARQ Rayleigh Fading inks Weifeng Su Member IEEE Sangkook
More informationA Distributed Utility Max-Min Flow Control Algorithm
A Distributed tiity Max-Min Fow Contro Agorithm Hyang-Won Lee and Song Chong Department of Eectrica Engineering and Computer Science Korea Advanced Institute of Science and Technoogy (KAIST) mshw@netsys.kaist.ac.kr,
More informationCAPACITY OF UNDERWATER WIRELESS COMMUNICATION CHANNEL WITH DIFFERENT ACOUSTIC PROPAGATION LOSS MODELS
CAPACITY OF UNDERWATER WIRELESS COMMUNICATION CHANNEL WITH DIFFERENT ACOUSTIC PROPAGATION LOSS MODELS Susan Joshy and A.V. Babu, Department of Eectronics & Communication Engineering, Nationa Institute
More informationSparse Beamforming Design for Network MIMO System with Per-Base-Station Backhaul Constraints
Sparse Beamforming Design for Networ MIMO System with Per-Base-Station Bachau Constraints Binbin Dai and Wei Yu Department of Eectrica and Computer Engineering University of Toronto, Toronto, Ontario M5S
More informationAn HARQ scheme with antenna switching for V-BLAST system
An HARQ scheme with antenna switching for V-BLAST system Bonghoe Kim* and Donghee Shim* *Standardization & System Research Gr., Mobile Communication Technology Research LAB., LG Electronics Inc., 533,
More informationSuppression of ISI Caused by Sampling Time Offset in IFDMA Systems
Suppression of ISI Caused by Samping Time Offset in IFDA Systems Aexander Arkhipov, ichae Schne German Aerospace Center (DLR), Inst. of Communications and Navigation, D-82234, Wessing, Germany. Phone/e-mai:
More informationAn Alamouti-based Hybrid-ARQ Scheme for MIMO Systems
An Alamouti-based Hybrid-ARQ Scheme MIMO Systems Kodzovi Acolatse Center Communication and Signal Processing Research Department, New Jersey Institute of Technology University Heights, Newark, NJ 07102
More informationMulti-Antenna Selection using Space Shift Keying in MIMO Systems
Multi-Antenna Selection using Space Shift Keying in MIMO Systems Wei-Ho Chung and Cheng-Yu Hung Research Center for Informatioechnology Innovation, Academia Sinica, Taiwan E-mail: whc@citi.sinica.edu.tw
More informationSPACE TIME coding for multiple transmit antennas has attracted
486 IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 50, NO. 3, MARCH 2004 An Orthogonal Space Time Coded CPM System With Fast Decoding for Two Transmit Antennas Genyuan Wang Xiang-Gen Xia, Senior Member,
More informationCapacity of Data Collection in Arbitrary Wireless Sensor Networks
This artice has been accepted for pubication in a future issue of this journa, but has not been fuy edited. Content may change prior to fina pubication. 1 Capacity of Data Coection in Arbitrary Wireess
More informationUniversity of Bristol - Explore Bristol Research. Peer reviewed version. Link to published version (if available): /GLOCOM.2003.
Coon, J., Siew, J., Beach, MA., Nix, AR., Armour, SMD., & McGeehan, JP. (3). A comparison of MIMO-OFDM and MIMO-SCFDE in WLAN environments. In Goba Teecommunications Conference, 3 (Gobecom 3) (Vo. 6, pp.
More informationDiversity Gain Region for MIMO Fading Multiple Access Channels
Diversity Gain Region for MIMO Fading Multiple Access Channels Lihua Weng, Sandeep Pradhan and Achilleas Anastasopoulos Electrical Engineering and Computer Science Dept. University of Michigan, Ann Arbor,
More informationBlock-Level Unitary Query: Incorporating Orthogonal-like Space-time Code with Query Diversity for MIMO Backscatter RFID
1 Bock-Leve Unitary Query: Incorporating Orthogona-ike Space-time Code with Query Diversity for MIMO Backscatter RFID Chen He, Member, IEEE, Z. Jane Wang, Senior Member, IEEE, and Victor C.M. Leung, Feow,
More informationCOMPARATIVE ANALYSIS OF ULTRA WIDEBAND (UWB) IEEE A CHANNEL MODELS FOR nlos PROPAGATION ENVIRONMENTS
COMPARATIVE ANALYSIS OF ULTRA WIDEBAND (UWB) IEEE80.15.3A CHANNEL MODELS FOR nlos PROPAGATION ENVIRONMENTS Ms. Jina H. She PG Student C.C.E.T, Wadhwan, Gujarat, Jina_hshet@yahoo.com Dr. K. H. Wandra Director
More informationBlind Multiuser Detection in Asynchronous DS-CDMA Systems over Nakagami-m Fading Channels
Bind Mutiuser Detection in Asynchronous DS-CDMA Systems over akagami-m Fading Channes Vinay Kumar Pamua JU Kakinada, Andhra Pradesh, India 533 003 pamuavk@yahoo.com ABSRAC his paper presents a technique
More informationOn the optimality of the null subcarrier placement for blind carrier offset estimation in OFDM systems Wu, Y.; Attallah, S.; Bergmans, J.W.M.
On the optimaity of the nu subcarrier pacement for bind carrier offset estimation in OFDM systems Wu, Y.; Attaah, S.; Bergmans, J.W.M. Pubished in: IEEE Transactions on Vehicuar Technoogy DOI: 0.09/TVT.2008.2005574
More informationSpatial Reuse in Dense Wireless Areas: A Cross-layer Optimization Approach via ADMM
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 1 Spatia Reuse in Dense Wireess Areas: A Cross-ayer Optimization Approach via ADMM Haeh Tabrizi, Member, IEEE, Borja Peeato, Member, IEEE, Gonaz Farhadi, Member,
More informationDESIGN OF SHIP CONTROLLER AND SHIP MODEL BASED ON NEURAL NETWORK IDENTIFICATION STRUCTURES
DESIGN OF SHIP CONROLLER AND SHIP MODEL BASED ON NEURAL NEWORK IDENIFICAION SRUCURES JASMIN VELAGIC, FACULY OF ELECRICAL ENGINEERING SARAJEVO, BOSNIA AND HERZEGOVINA, asmin.veagic@etf.unsa.ba ABSRAC his
More informationA Game-theoretic Approach to Power Management in MIMO-OFDM. Ad Hoc Networks. A Dissertation. Submitted to the Faculty. Drexel University.
A Game-theoretic Approach to Power Management in MIMO-OFDM Ad Hoc Networks A Dissertation Submitted to the Facuty of Drexe University by Chao Liang in partia fufiment of the requirements for the degree
More informationPerformance of Single User vs. Multiuser Modulation in Wireless Multicarrier (MC) Communications
erformance of Singe User vs. Mutiuser Moduation in Wireess Muticarrier (MC) Communications Anwaru Azim, ecturer, East West University Bangadesh Abstract-- he main objective of this paper is to compare
More informationCopyright 2000 IEEE. IEEE Global Communications Conference (Globecom 2000), November 27 - December 1, 2000, San Francisco, California, USA
Copyright 2000 EEE. EEE Goba Communications Conference (Gobecom 2000), November 27 - December 1, 2000, San Francisco, Caifornia, USA Persona use of this materia is permitted. owever, permission to reprint/repubish
More informationCross-layer queuing analysis on multihop relaying networks with adaptive modulation and coding K. Zheng 1 Y. Wang 1 L. Lei 2 W.
www.ietd.org Pubished in IET Communications Received on 18th June 2009 Revised on 30th Juy 2009 ISSN 1751-8628 Cross-ayer queuing anaysis on mutihop reaying networks with adaptive moduation and coding
More informationDual Relay Selection for Cooperative NOMA with Distributed Space Time Coding
This artice has been accepted for pubication in a future issue of this journa, but has not been fuy edited. Content may change prior to fina pubication. Citation information: DOI.9/ACCESS.8.846, IEEE Access
More informationIterative Transceiver Design for Opportunistic Interference Alignment in MIMO Interfering Multiple-Access Channels
Journa of Communications Vo. 0 No. February 0 Iterative Transceiver Design for Opportunistic Interference Aignment in MIMO Interfering Mutipe-Access Channes Weipeng Jiang ai Niu and Zhiqiang e Schoo of
More informationResource Allocation for Network-Integrated Device-to-Device Communications Using Smart Relays
Resource Aocation for Network-Integrated Device-to-Device Communications Using Smart Reays Monowar Hasan and Ekram Hossain Department of Eectrica and Computer Engineering, University of Manitoba, Winnipeg,
More informationTwo Models for Noisy Feedback in MIMO Channels
Two Models for Noisy Feedback in MIMO Channels Vaneet Aggarwal Princeton University Princeton, NJ 08544 vaggarwa@princeton.edu Gajanana Krishna Stanford University Stanford, CA 94305 gkrishna@stanford.edu
More informationSparse Channel Estimation Based on Compressed Sensing for Massive MIMO Systems
Sparse Channe Estimation Based on Compressed Sensing for Massive MIMO Systems Chenhao Qi, Yongming Huang, Shi Jin and Lenan Wu Schoo of Information Science and Engineering, Southeast University, Nanjing
More informationInternational Journal of Advanced Research in Electronics and Communication Engineering (IJARECE) Volume 3, Issue 11, November 2014
An Overview of Spatial Modulated Space Time Block Codes Sarita Boolchandani Kapil Sahu Brijesh Kumar Asst. Prof. Assoc. Prof Asst. Prof. Vivekananda Institute Of Technology-East, Jaipur Abstract: The major
More informationOn the Relationship Between Queuing Delay and Spatial Degrees of Freedom in a MIMO Multiple Access Channel
On the Reationship Between Queuing Deay and Spatia Degrees of Freedom in a IO utipe Access Channe Sriram N. Kizhakkemadam, Dinesh Rajan, andyam Srinath Dept. of Eectrica Engineering Southern ethodist University
More informationPerformance Analysis of Maximum Likelihood Detection in a MIMO Antenna System
IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 50, NO. 2, FEBRUARY 2002 187 Performance Analysis of Maximum Likelihood Detection in a MIMO Antenna System Xu Zhu Ross D. Murch, Senior Member, IEEE Abstract In
More informationWireless Communications
Wireess Communications Ceuar Concept Hamid Bahrami Reference: Rappaport Chap3 Eectrica & Computer Engineering Statements of Probems Soving the probem of Spectra congestion System Capacity A system-eve
More informationSource Transmit Antenna Selection for MIMO Decode-and-Forward Relay Networks
IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 61, NO. 7, APRIL 1, 2013 1657 Source Transmit Antenna Selection for MIMO Decode--Forward Relay Networks Xianglan Jin, Jong-Seon No, Dong-Joon Shin Abstract
More informationFuzzy Model Predictive Control Applied to Piecewise Linear Systems
10th Internationa Symposium on Process Systems Engineering - PSE2009 Rita Maria de Brito Aves, Caudio Augusto Oer do Nascimento and Evaristo Chabaud Biscaia Jr. (Editors) 2009 Esevier B.V. A rights reserved.
More informationDegrees of Freedom of Multi-hop MIMO Broadcast Networks with Delayed CSIT
Degrees of Freedom of Multi-hop MIMO Broadcast Networs with Delayed CSIT Zhao Wang, Ming Xiao, Chao Wang, and Miael Soglund arxiv:0.56v [cs.it] Oct 0 Abstract We study the sum degrees of freedom (DoF)
More informationTHE emergence of multiuser transmission techniques for
IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 54, NO. 10, OCTOBER 2006 1747 Degrees of Freedom in Wireless Multiuser Spatial Multiplex Systems With Multiple Antennas Wei Yu, Member, IEEE, and Wonjong Rhee,
More informationPower Control and Transmission Scheduling for Network Utility Maximization in Wireless Networks
roceedings of the 46th IEEE Conference on Decision and Contro New Oreans, LA, USA, Dec. 12-14, 27 FrB2.5 ower Contro and Transmission Scheduing for Network Utiity Maximization in Wireess Networks Min Cao,
More information3432 IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 53, NO. 10, OCTOBER 2007
3432 IEEE TRANSACTIONS ON INFORMATION THEORY, VOL 53, NO 10, OCTOBER 2007 Resource Allocation for Wireless Fading Relay Channels: Max-Min Solution Yingbin Liang, Member, IEEE, Venugopal V Veeravalli, Fellow,
More informationCHANNEL ESTIMATION USING EXTENDED KALMAN FILTER WITH SLICED MULTI MODULUS BLIND EQUALIZATION ALGORITHM (SMMA)
Journa of Theoretica and Appied nformation Technoogy 005-06 JATT & LLS. A rights reserved. SSN: 99-8645 www.jatit.org E-SSN: 87-395 CHANNEL ESTMATON USNG EXTENDED KALMAN FLTE WTH SLCED MULT MODULUS BLND
More informationEnergy Efficiency Optimization in Multi-Antenna Wireless Powered Communication Network with No Channel State Information
Vol.141 (GST 016), pp.158-163 http://dx.doi.org/10.1457/astl.016.141.33 Energy Efficiency Optimization in Multi-Antenna Wireless Powered Communication Networ with No Channel State Information Byungjo im
More information1860 IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. 66, NO. 2, FEBRUARY 2017
1860 IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. 66, NO. 2, FEBRUARY 2017 Correspondence Near-Optima Signa Detector Based on Structured Compressive Sensing for Massive SM-MIMO Zhen Gao, Lingong Dai,
More informationFast Hybrid DFT/DCT Architecture for OFDM in Cognitive Radio System
Fast Hybrid DF/D Architecture for OFDM in ognitive Radio System Zhu hen, Moon Ho Lee, Senior Member, EEE, hang Joo Kim 3 nstitute of nformation&ommunication, honbuk ationa University, Jeonju, 56-756,Korea
More informationA Differential Detection Scheme for Transmit Diversity
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. 18, NO. 7, JULY 2000 1169 A Differential Detection Scheme for Transmit Diversity Vahid Tarokh, Member, IEEE, Hamid Jafarkhani, Member, IEEE Abstract
More informationOptimal Power Allocation over Fading Channels with Stringent Delay Constraints
1 Optimal Power Allocation over Fading Channels with Stringent Delay Constraints Xiangheng Liu Andrea Goldsmith Dept. of Electrical Engineering, Stanford University Email: liuxh,andrea@wsl.stanford.edu
More informationAirborne Ultrasonic Position and Velocity Measurement Using Two Cycles of Linear-Period-Modulated Signal
Airborne Utrasonic Position and Veocity Measurement Using Two Cyces of Linear-Period-Moduated Signa Shinya Saito 1, Minoru Kuribayashi Kurosawa 1, Yuichiro Orino 1, and Shinnosuke Hirata 2 1 Department
More informationTheoretical Analysis of Power Saving in Cognitive Radio with Arbitrary Inputs
Theoretica Anaysis of Power Saving in Cognitive Radio with Arbitrary Inputs Ahmed Sohai, Mohammed A-Imari, Pei Xiao, and Barry G. Evans Abstract In Orthogona Frequency Division Mutipexing (OFDM based cognitive
More informationGeneralized PSK in space-time coding. IEEE Transactions On Communications, 2005, v. 53 n. 5, p Citation.
Title Generalized PSK in space-time coding Author(s) Han, G Citation IEEE Transactions On Communications, 2005, v. 53 n. 5, p. 790-801 Issued Date 2005 URL http://hdl.handle.net/10722/156131 Rights This
More informationNovel Symbol-Wise ML Decodable STBC for IEEE e/m Standard
Novel Symbol-Wise ML Decodable STBC for IEEE 802.16e/m Standard Tian Peng Ren 1 Chau Yuen 2 Yong Liang Guan 3 and Rong Jun Shen 4 1 National University of Defense Technology Changsha 410073 China 2 Institute
More informationMULTIPLE transmit-and-receive antennas can be used
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 1, NO. 1, JANUARY 2002 67 Simplified Channel Estimation for OFDM Systems With Multiple Transmit Antennas Ye (Geoffrey) Li, Senior Member, IEEE Abstract
More informationNovel BICM HARQ Algorithm Based on Adaptive Modulations
Novel BICM HARQ Algorithm Based on Adaptive Modulations Item Type text; Proceedings Authors Kumar, Kuldeep; Perez-Ramirez, Javier Publisher International Foundation for Telemetering Journal International
More informationAdaptive Bit and Power Allocation for Rate and Margin Maximization in V-BLAST System
Revista Científica Periódica - Teecomunicações ISSN 56-338 Adaptive Bit and Power Aocation for Rate and argin aximization in V-BAST System Dror eiri and Irving Kaet Aeis Photonics, Netanya, Israe (emai:
More informationJoint Spectrum Access and Pricing in Cognitive Radio Networks with Elastic Traffic
Joint Spectrum Access and Pricing in Cognitive Radio Networks with Eastic Traffic Joceyne Eias University of Bergamo E-mai: joceyne.eias@unibg.it Fabio Martignon University of Bergamo E-mai: fabio.martignon@unibg.it
More informationOptimal Bandwidth Allocation for Source Coding, Channel Coding and Spreading in a CDMA System
ptima Bandwidth Aocation or Source oding, hanne oding and Spreading in a DA System Qinghua Zhao, Pamea. osman, and aurence B. istein Department o Eectrica and omputer Engineering, University o aiornia,
More informationSecrecy Outage Analysis over Correlated Composite Nakagami-m/Gamma Fading Channels
Secrecy Outage Anaysis over Correated Composite Nakagami-m/Gamma Fading Channes George C. Aexandropouos, Senior Member, IEEE and Kostas P. Peppas, Senior Member, IEEE arxiv:7.9v [cs.it] 3 Oct 7 Abstract
More informationEnergy Efficient Sensor, Relay and Base Station Placements for Coverage, Connectivity and Routing
Energy Efficient Sensor, Reay and Base Station Pacements for Coverage, Connectivity and Routing Mauin Pate*, R. Chandrasekaran and S.Venkatesan Teecommunication Engineering Program Erik Jonsson Schoo of
More informationSpace-Time Focusing Transmission in Ultra-wideband Cooperative Relay Networks
ICUWB 2009 (September 9-11, 2009) 1 Space-Time Focusing Transmission in Utra-wideband Cooperative Reay Networks Yafei Tian and Chenyang Yang Schoo of Eectronics and Information Engineering, Beihang University
More informationHybrid Digital-Analog Joint Source Channel Coding for Broadcast Multiresolution Communications
217 25th European Signa Processing Conference (EUSIPCO) Hybrid Digita-Anaog Joint Source Channe Coding for Broadcast Mutiresoution Communications O. Fresnedo, P. Suárez-Casa, L. Castedo Department of Eectronics
More informationSymbol Error Rate Calculation for Alamouti Space Time Coded OFDM in Direct Conversion Receivers
Symbo Error Rate Cacuation for Aamouti Space Time Coded OFDM in Direct Conversion Receivers Marco Krondorf Vodafone Chair Mobie Communications Systems, Technische Universität Dresden, D-6 Dresden, Germany
More informationAvailability Analysis for Elastic Optical Networks with Multi-path Virtual Concatenation Technique
Progress In Eectromagnetics Research Symposium Proceedings, Guangzhou, China, Aug. 25 28, 2014 849 Avaiabiity Anaysis for Eastic Optica Networks with Muti-path Virtua Concatenation Technique Xiaoing Wang
More informationMultiple Antennas in Wireless Communications
Multiple Antennas in Wireless Communications Luca Sanguinetti Department of Information Engineering Pisa University luca.sanguinetti@iet.unipi.it April, 2009 Luca Sanguinetti (IET) MIMO April, 2009 1 /
More informationOptimum Fault Current Limiter Placement
Optimum aut urrent Limiter acement Jen-Hao Teng han-an Lu Abstract: Due to the difficuty in power network reinforcement and the interconnection of more distributed generations, faut current eve has become
More informationarxiv: v1 [cs.it] 22 Aug 2007
Voice Service Support in Mobie Ad Hoc Networks Hai Jiang, Ping Wang, H. Vincent Poor, and Weihua Zhuang Dept. of Eec. & Comp. Eng., University of Aberta, Canada, hai.jiang@ece.uaberta.ca Dept. of Eec.
More informationDegrees of Freedom of the MIMO X Channel
Degrees of Freedom of the MIMO X Channel Syed A. Jafar Electrical Engineering and Computer Science University of California Irvine Irvine California 9697 USA Email: syed@uci.edu Shlomo Shamai (Shitz) Department
More informationPerformance of Combined Error Correction and Error Detection for very Short Block Length Codes
Performance of Combined Error Correction and Error Detection for very Short Block Length Codes Matthias Breuninger and Joachim Speidel Institute of Telecommunications, University of Stuttgart Pfaffenwaldring
More informationUplink Massive MIMO SIR Analysis: How do Antennas Scale with Users?
Upink Massive MIMO SIR Anaysis: How do Antennas Scae with Users? Tianyang Bai and Robert W. Heath, Jr. Wireess Networking and Communication Group The University of Texas at Austin 66 Guadaupe Street, C83,
More informationOn the Capacity Region of the Vector Fading Broadcast Channel with no CSIT
On the Capacity Region of the Vector Fading Broadcast Channel with no CSIT Syed Ali Jafar University of California Irvine Irvine, CA 92697-2625 Email: syed@uciedu Andrea Goldsmith Stanford University Stanford,
More information